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In this paper, a novel global search algorithm, implementing principal component optimization (PCO) in combination with mesh adaptive direct search (MADS) is proposed. The PCO is based on principal component analysis, a widely used multivariate technique in statistics, while MADS is a highly effective local search algorithm, implemented to find local optima. Their integration reduces computation time...
Optimal design of Permanent Magnet Synchronous Machine (PMSM) based on Finite Element Analysis (FEA) calls for huge computational time for high accuracy. Therefore, it is essential to select appropriate optimization algorithm. This paper presents the principal component optimization based on principal component analysis with mesh adaptive direct search to improve computation time and reliability of...
In this paper, a novel concept of repulsion velocity is adapted to original PSO. The concept of repulsive velocity is originated from the behavior to keep out of area which has low fitness. Proposed technique shows more improved convergence and reduces the number of function call compared to original PSO. The validness of the proposed algorithm is verified by an application to a test function.
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